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» A Robust System Architecture for Mining Semi-Structured Data
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EDBT
2008
ACM
206views Database» more  EDBT 2008»
14 years 7 months ago
Designing an inductive data stream management system: the stream mill experience
There has been much recent interest in on-line data mining. Existing mining algorithms designed for stored data are either not applicable or not effective on data streams, where r...
Hetal Thakkar, Barzan Mozafari, Carlo Zaniolo
EUMAS
2006
13 years 9 months ago
A Customizable Multi-Agent System for Distributed Data Mining
We present a general Multi-Agent System framework for distributed data mining based on a Peer-toPeer model. The framework adopts message-based asynchronous communication and a dyn...
Giancarlo Fortino, Giuseppe Di Fatta
DATE
2010
IEEE
154views Hardware» more  DATE 2010»
14 years 25 days ago
ERSA: Error Resilient System Architecture for probabilistic applications
There is a growing concern about the increasing vulnerability of future computing systems to errors in the underlying hardware. Traditional redundancy techniques are expensive for...
Larkhoon Leem, Hyungmin Cho, Jason Bau, Quinn A. J...
INCDM
2010
Springer
251views Data Mining» more  INCDM 2010»
13 years 11 months ago
Multi-Agent Based Clustering: Towards Generic Multi-Agent Data Mining
Abstract. A framework for Multi Agent Data Mining (MADM) is described. The framework comprises a collection of agents cooperating to address given data mining tasks. The fundamenta...
Santhana Chaimontree, Katie Atkinson, Frans Coenen
ICDIM
2010
IEEE
13 years 5 months ago
Real-time business intelligence system architecture with stream mining
Business Intelligence (BI) capitalized on datamining and analytics techniques for discovering trends and reacting to events with quick decisions. We argued that a new breed of dat...
Yang Hang, Simon Fong